ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.08456
  4. Cited By
Towards Learning Universal, Regional, and Local Hydrological Behaviors
  via Machine-Learning Applied to Large-Sample Datasets
v1v2 (latest)

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

Hydrology and Earth System Sciences (HESS), 2019
19 July 2019
Frederik Kratzert
D. Klotz
Guy Shalev
Günter Klambauer
Sepp Hochreiter
G. Nearing
ArXiv (abs)PDFHTML

Papers citing "Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets"

11 / 61 papers shown
The data synergy effects of time-series deep learning models in
  hydrology
The data synergy effects of time-series deep learning models in hydrologyWater Resources Research (WRR), 2021
K. Fang
Daniel Kifer
K. Lawson
D. Feng
Chaopeng Shen
AI4CE
328
110
0
06 Jan 2021
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Uncertainty Estimation with Deep Learning for Rainfall-Runoff ModellingHydrology and Earth System Sciences (HESS), 2020
D. Klotz
Frederik Kratzert
M. Gauch
A. Sampson
Günter Klambauer
Sepp Hochreiter
G. Nearing
BDLUQCV
181
140
0
15 Dec 2020
Physics Guided Machine Learning Methods for Hydrology
Physics Guided Machine Learning Methods for Hydrology
A. Khandelwal
Shaoming Xu
Xiang Li
X. Jia
M. Steinbach
C. Duffy
John L. Nieber
Vipin Kumar
AI4CE
157
47
0
02 Dec 2020
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
Sella Nevo
G. Elidan
Avinatan Hassidim
Guy Shalev
Oren Gilon
G. Nearing
Yossi Matias
127
7
0
29 Nov 2020
Prediction in ungauged regions with sparse flow duration curves and
  input-selection ensemble modeling
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modelingGeophysical Research Letters (GRL), 2020
D. Feng
K. Lawson
Chaopeng Shen
AI4TS
147
96
0
26 Nov 2020
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long
  Short-Term Memory Network
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
M. Gauch
Frederik Kratzert
D. Klotz
G. Nearing
Jimmy Lin
Sepp Hochreiter
AI4TS
141
234
0
15 Oct 2020
Global soil moisture from in-situ measurements using machine learning --
  SoMo.ml
Global soil moisture from in-situ measurements using machine learning -- SoMo.ml
O. Sungmin
R. Orth
53
10
0
05 Oct 2020
HydroNets: Leveraging River Structure for Hydrologic Modeling
HydroNets: Leveraging River Structure for Hydrologic Modeling
Zach Moshe
Asher Metzger
G. Elidan
Frederik Kratzert
Sella Nevo
Ran El-Yaniv
120
40
0
01 Jul 2020
A Comprehensive Review of Deep Learning Applications in Hydrology and
  Water Resources
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
M. Sit
B. Demiray
Z. Xiang
Gregory Ewing
Y. Sermet
Ibrahim Demir
AI4ClAI4CE
233
411
0
17 Jun 2020
70 years of machine learning in geoscience in review
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
VLMAI4CE
293
205
0
16 Jun 2020
Combining Parametric Land Surface Models with Machine Learning
Combining Parametric Land Surface Models with Machine LearningIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020
C. Pelissier
J. Frame
G. Nearing
119
12
0
14 Feb 2020
Previous
12
Page 2 of 2